--------------------------------------------------------------------------
WARNING: No preset parameters were found for the device that Open MPI
detected:

  Local host:            holy7c26410
  Device name:           mlx5_0
  Device vendor ID:      0x02c9
  Device vendor part ID: 4123

Default device parameters will be used, which may result in lower
performance.  You can edit any of the files specified by the
btl_openib_device_param_files MCA parameter to set values for your
device.

NOTE: You can turn off this warning by setting the MCA parameter
      btl_openib_warn_no_device_params_found to 0.
--------------------------------------------------------------------------
--------------------------------------------------------------------------
No OpenFabrics connection schemes reported that they were able to be
used on a specific port.  As such, the openib BTL (OpenFabrics
support) will be disabled for this port.

  Local host:           holy7c26410
  Local device:         mlx5_2
  Local port:           1
  CPCs attempted:       rdmacm, udcm
--------------------------------------------------------------------------

******************************************************
CHECKPOINT: Resuming analysis from 80taxa.ckp.gz

************************************************
* START TREE SEARCH USING MPI WITH 1 PROCESSES *
************************************************
Random seed of master = 826413
IQ-TREE MPI multicore version 1.5.5 for Linux 64-bit built May 30 2018
Copyright (c) 2011-2017 by Bui Quang Minh, Nguyen Lam Tung,
Olga Chernomor, Heiko Schmidt, and Arndt von Haeseler.

Host:    holy7c26410.rc.fas.harvard.edu (AVX512, FMA3, 503 GB RAM)
Command: /n/helmod/apps/centos7/MPI/gcc/7.1.0-fasrc01/openmpi/2.1.0-fasrc02/iqtree/1.5.5-fasrc02/bin/iqtree-omp-mpi -nt 64 -st AA -ninit 10 -bb 1500 -pre 80taxa -msub nuclear -s ../../matrices/Concatenated_80taxa/80taxa_concatenated.phy -m MFP -mset LG,WAG -rcluster 10 -madd LG4M,LG4X,LG+C10,LG+C20 -mrate G,R,E -mwopt
Seed:    679950 (Using SPRNG - Scalable Parallel Random Number Generator)
Time:    Sat Dec  4 09:12:10 2021
Kernel:  AVX+FMA - 64 threads (64 CPU cores detected)

WARNING: Command-line argument `64` differs from checkpoint `32`
WARNING: Command-line argument `LG,WAG` differs from checkpoint `WAG,LG`
WARNING: Command-line argument `-rcluster` differs from checkpoint `-madd`
WARNING: Command-line argument `10` differs from checkpoint `LG4M,LG4X,LG+C10,LG+C20`
WARNING: Command-line argument `-madd` differs from checkpoint `-mrate`
WARNING: Command-line argument `LG4M,LG4X,LG+C10,LG+C20` differs from checkpoint `G,R,E`
WARNING: Command-line argument `-mrate` differs from checkpoint `-rcluster`
WARNING: Command-line argument `G,R,E` differs from checkpoint `10`
WARNING: Command-line differs from checkpoint!
Reading alignment file ../../matrices/Concatenated_80taxa/80taxa_concatenated.phy ... Phylip format detected
Alignment most likely contains protein sequences
WARNING: 17751 sites contain only gaps or ambiguous characters.
Alignment has 114 sequences with 130622 columns and 88893 patterns (51032 informative sites, 63518 constant sites)
                                                              Gap/Ambiguity  Composition  p-value
   1  Californiulus_sp                                               52.21%    failed      0.00%
   2  Uroblaniulus_sp                                                50.76%    failed      0.00%
   3  Anadenobolus_sp                                                47.29%    failed      0.00%
   4  Tygarrup_javanicus                                             53.65%    failed      0.00%
   5  Orinisobates_nigrior                                           51.11%    failed      0.00%
   6  Notiphilides_grandis                                           56.28%    failed      0.00%
   7  Glomeridella_minima_SRR3485983                                 52.75%    failed      0.00%
   8  Cryptops_anomalans_SRR3485978                                  48.14%    failed      0.00%
   9  Onomeris_sp                                                    53.68%    failed      0.00%
  10  Ommatoiulus_sabulosus_SRR1653222                               48.78%    failed      0.00%
  11  Strigamia_maritima_1                                           52.82%    failed      0.00%
  12  Thrinaxoria_sp_M1                                              47.59%    failed      0.00%
  13  Sphaerotheriidae_sp                                            74.25%    failed      0.00%
  14  Lithobius_sp                                                   45.23%    failed      0.00%
  15  Eupolybothrus_tridentinus_SRR3485982                           47.53%    failed      0.00%
  16  Hanseniella                                                    51.08%    failed      0.00%
  17  Folsomia_isoSingle                                             51.86%    failed      0.00%
  18  Petaserpes_sp                                                  57.27%    failed      0.00%
  19  Desmonus_earlei_MITS016                                        51.20%    failed      0.00%
  20  Prostemmiulus_loomisi                                          58.68%    failed      0.00%
  21  Symphyla_japan                                                 63.95%    failed      0.00%
  22  Craterostigmus_tasmanianus                                     62.83%    failed      0.00%
  23  Acopauropus_ornatus_SRR3485973                                 49.78%    failed      0.00%
  24  Scolopendropsis_bahiensis                                      54.50%    failed      0.00%
  25  Polyxenidae_sp_2438_JEB_0005                                   60.41%    failed      0.00%
  26  Calanus_finmarchicus_MCZ_IZ_60621_Crust123_TransD_Iso_Single   59.88%    failed      0.00%
  27  Clinopodes_flavidus_SRR1653181                                 48.66%    failed      0.00%
  28  Himantarium_gabrielis_SRR1653198                               49.47%    failed      0.00%
  29  Floridobolus_sp                                                60.19%    failed      0.00%
  30  Abacion_sp_MITS007                                             54.75%    failed      0.00%
  31  Anoplodactylus_insignis_IZ_134527_isoSingle                    56.63%    failed      0.00%
  32  Rhysida_longipes                                               60.43%    failed      0.00%
  33  Rhinotus_purpureus                                             49.56%    failed      0.00%
  34  Haploglomeris_multistriata_SRR3485985                          53.47%    failed      0.00%
  35  Cyrtodesmus_sp                                                 50.52%    failed      0.00%
  36  Schendyla_carniolensis_SRR3485996                              46.84%    failed      0.00%
  37  Siphonoconus                                                   55.06%    failed      0.00%
  38  Scutigera_coleoptrata                                          63.69%    failed      0.00%
  39  Striaria_sp_MITS013                                            45.64%    failed      0.00%
  40  Craspedosoma_sp_AD2016_SRR3485977                              44.30%    failed      0.00%
  41  Artemia_salina_MCZ_IZ_141349_Crust208_TransD_Iso_Single        54.29%    failed      0.00%
  42  Sigmoria_latior_munda                                          59.55%    failed      0.00%
  43  Strigamia_acuminata_SRR3485997                                 49.00%    failed      0.00%
  44  Cryptops_hortensis                                             47.73%    failed      0.00%
  45  Pseudopolydesmus_sp                                            49.13%    failed      0.00%
  46  Hanseniella_nivea_SRR3485984                                   47.13%    failed      0.00%
  47  Cleidogona_sp                                                  45.70%    failed      0.00%
  48  Abacion_magnum                                                 51.70%    failed      0.00%
  49  Symphylella_sp_AD2014_SRR1653241                               48.12%    failed      0.00%
  50  Pauropus_huxleyi                                               59.96%    failed      0.00%
  51  Idotea_baltica_MCZ_IZ_71215                                    55.77%    failed      0.00%
  52  Paralamyctes_validus                                           60.02%    failed      0.00%
  53  Eupolybothrus_cavernicolus_ERR338470                           45.66%    failed      0.00%
  54  Glomeris_marginata                                             64.28%    failed      0.00%
  55  Scolopendra_cingulata_SRR1653235                               47.28%    failed      0.00%
  56  Mecistocephalus_guildingii                                     55.67%    failed      0.00%
  57  Scutigerina_weberi                                             57.79%    failed      0.00%
  58  Polyxenus_lagurus_SRR3485994                                   52.46%    failed      0.00%
  59  Xystodesmidae_sp_AUMS5334                                      49.19%    failed      0.00%
  60  Henia_brevis                                                   56.14%    failed      0.00%
  61  Eudigraphis_takakuwai_SRR1653191                               48.75%    failed      0.00%
  62  Anopsobius_giribeti                                            54.53%    failed      0.00%
  63  Glomeridesmus_sp_1                                             47.64%    failed      0.00%
  64  Henia_illyrica_SRR3485986                                      48.62%    failed      0.00%
  65  Scutigera_coleoptrata_SRR1653237                               45.44%    failed      0.00%
  66  Glomeridesmus_sp_2                                             48.89%    failed      0.00%
  67  Craterostigmus_tasmanianus_SRR2774008                          47.36%    failed      0.00%
  68  Polyzonium_germanicum_SRR3485995                               54.15%    failed      0.00%
  69  Newportia_adisi                                                55.67%    failed      0.00%
  70  Eupolybothrus_fasciatus_SRR3485981                             54.19%    failed      0.00%
  71  Scolopocryptops_rubiginosus_SRR1653236                         45.35%    failed      0.00%
  72  Platydesmus_sp                                                 47.42%    failed      0.00%
  73  Cambala_annulata                                               48.24%    failed      0.00%
  74  Limulus_polyphemus_isoSingle                                   55.76%    failed      0.00%
  75  Centruroides_sculpturatus_IZ_46910_isoSingle                   53.49%    failed      0.00%
  76  Scoterpes_sp_AUMS15047                                         47.38%    failed      0.00%
  77  Hanseniella_sp_AD2014_SRR1653195                               49.32%    failed      0.00%
  78  Narceus_americanus                                             55.31%    failed      0.00%
  79  Stenotaenia_linearis                                           54.04%    failed      0.00%
  80  Brachycybe_lecontii                                            44.76%    failed      0.00%
  81  Scolopendra_subspinipes_SRR6377863                             46.31%    failed      0.00%
  82  Strigamia_maritima_2                                           59.14%    failed      0.00%
  83  Polydesmus_complanatus_SRR3485993                              47.07%    failed      0.00%
  84  Callipus_foetidissimus_SRR3485975                              56.91%    failed      0.00%
  85  Alipes_grandidieri                                             53.01%    failed      0.00%
  86  Himantarium_gabrielis                                          61.42%    failed      0.00%
  87  Microspirobolus_sp                                             74.60%    failed      0.00%
  88  Eudigraphis_taiwanensis                                        56.62%    failed      0.00%
  89  Andrognathus_corticarius                                       52.81%    failed      0.00%
  90  Hydroschendyla_submarina                                       65.06%    failed      0.00%
  91  Cylindroiulus_punctatus                                        59.13%    failed      0.00%
  92  Sphendononema_guildingii                                       66.17%    failed      0.00%
  93  Tylobolus                                                      51.54%    failed      0.00%
  94  Pseudocellus_sp_iz140060                                       83.19%    failed      0.00%
  95  Theatops_spinicaudus                                           62.37%    failed      0.00%
  96  Craterostigmus_crabilli                                        59.25%    failed      0.00%
  97  Orthoporus_sp_2                                                51.68%    failed      0.00%
  98  Orthoporus_sp_1                                                57.14%    failed      0.00%
  99  Scolopocryptops_sexspinosus                                    60.72%    failed      0.00%
 100  Neogovea_matawai_MCZ133922                                     69.20%    failed      0.00%
 101  Lithobius_atkinsoni                                            71.22%    failed      0.00%
 102  Mimops_orientalis_2_WG05102                                    70.32%    failed      0.00%
 103  Scutigerella                                                   75.16%    failed      0.00%
 104  Cyliosoma                                                      91.24%    failed      0.00%
 105  Polydesmus_angustus                                            72.81%    failed      0.00%
 106  Asiomorpha_coarctata                                           61.42%    failed      0.00%
 107  Akymnopellis_chilensis                                         70.95%    failed      0.00%
 108  Chondromorpha_cairoensis                                       92.80%    failed      0.00%
 109  Prostemmiulus_sp                                               71.76%    failed      0.00%
 110  Mimops_orientalis_2_WG05101                                    89.54%    failed      0.00%
 111  Xibalbanus_tulumensis                                          95.28%    failed      0.00%
 112  Siphonophorus_sp_1                                             95.25%    failed      0.00%
 113  Trichomorpha_sp                                                91.00%    failed      0.00%
 114  Thalassisobates_littoralis_SRR1653242                          89.31%    failed      0.00%
WARNING: 78 sequences contain more than 50% gaps/ambiguity
****  TOTAL                                                          57.34%  114 sequences failed composition chi2 test (p-value<5%; df=19)
NOTE: minimal branch length is reduced to 0.000000765568 for long alignment

CHECKPOINT: Initial tree restored

NOTE: Reusing information from model file 80taxa.model
NOTE: ModelFinder requires 16169 MB RAM!
ModelFinder will test 48 protein models (sample size: 130622) ...
 No. Model         -LnL         df  AIC          AICc         BIC
  1  LG+G4         2976586.956  226 5953625.911  5953626.698  5955836.205
  2  LG+R2         3018908.213  227 6038270.425  6038271.219  6040490.500
  3  LG+R3         2978227.874  229 5956913.749  5956914.557  5959153.383
  4  LG+R4         2968998.164  231 5938458.329  5938459.151  5940717.523
  5  LG+R5         2966820.294  233 5934106.588  5934107.424  5936385.343
  6  LG+R6         2966308.426  235 5933086.853  5933087.704  5935385.168
  7  LG+R7         2966187.165  237 5932848.331  5932849.196  5935166.206
  8  LG+R8         2966177.301  239 5932832.603  5932833.483  5935170.038
  9  LG+R9         Skipped 
 10  LG+R10        Skipped 
 11  LG            3310475.413  225 6621400.826  6621401.606  6623601.341
 12  LG+F+G4       2733390.830  245 5467271.660  5467272.585  5469667.776
 13  LG+F+R2       2778808.414  246 5558108.828  5558109.760  5560514.723
 14  LG+F+R3       2736751.462  248 5473998.923  5473999.871  5476424.379
 15  LG+F+R4       2726593.666  250 5453687.332  5453688.295  5456132.348
 16  LG+F+R5       2723720.553  252 5447945.106  5447946.084  5450409.682
 17  LG+F+R6       2722991.442  254 5446490.884  5446491.878  5448975.020
 18  LG+F+R7       2722710.784  256 5445933.567  5445934.576  5448437.263
 19  LG+F+R8       2722626.008  258 5445768.016  5445769.041  5448291.272
 20  LG+F+R9       2722619.440  260 5445758.879  5445759.921  5448301.696
 21  LG+F+R10      Skipped 
 22  LG+F          3056693.500  244 6113874.999  6113875.916  6116261.334
 23  WAG+G4        2968582.644  226 5937617.287  5937618.074  5939827.581
 24  WAG+R2        3007535.043  227 6015524.086  6015524.879  6017744.160
 25  WAG+R3        2969721.671  229 5939901.342  5939902.149  5942140.976
 26  WAG+R4        2961207.312  231 5922876.624  5922877.446  5925135.819
 27  WAG+R5        2959113.047  233 5918692.093  5918692.930  5920970.848
 28  WAG+R6        2958695.918  235 5917861.835  5917862.686  5920160.150
 29  WAG+R7        2958569.829  237 5917613.658  5917614.523  5919931.533
 30  WAG+R8        2958561.612  239 5917601.223  5917602.103  5919938.658
 31  WAG+R9        Skipped 
 32  WAG+R10       Skipped 
 33  WAG           3286324.660  225 6573099.320  6573100.100  6575299.835
 34  WAG+F+G4      2747498.697  245 5495487.394  5495488.318  5497883.509
 35  WAG+F+R2      2789272.077  246 5579036.154  5579037.086  5581442.049
 36  WAG+F+R3      2750060.292  248 5500616.585  5500617.532  5503042.040
 37  WAG+F+R4      2740587.799  250 5481675.599  5481676.561  5484120.614
 38  WAG+F+R5      2737865.402  252 5476234.804  5476235.782  5478699.380
 39  WAG+F+R6      2737274.585  254 5475057.170  5475058.164  5477541.306
 40  WAG+F+R7      2737053.944  256 5474619.889  5474620.898  5477123.585
 41  WAG+F+R8      2737012.699  258 5474541.399  5474542.424  5477064.655
 42  WAG+F+R9      2736986.109  260 5474492.218  5474493.259  5477035.035
 43  WAG+F+R10     2736985.189  262 5474494.378  5474495.435  5477056.755
 44  WAG+F         3061111.268  244 6122710.536  6122711.453  6125096.871
Model LG4M is alias for MIX{LG4M1,LG4M2,LG4M3,LG4M4}*G4
 45  LG4M          2977583.852  226 5955619.704  5955620.491  5957829.999
Model LG4X is alias for MIX{LG4X1,LG4X2,LG4X3,LG4X4}*R4
 46  LG4X          2960661.175  231 5921784.350  5921785.172  5924043.545
Model LG+C10 is alias for LG+POISSON+G+FMIX{C10pi1:1:0.1191344178,C10pi2:1:0.0874372456,C10pi3:1:0.1037105070,C10pi4:1:0.0922584809,C10pi5:1:0.1070492801,C10pi6:1:0.1329945166,C10pi7:1:0.0538028458,C10pi8:1:0.0691986212,C10pi9:1:0.1319937434,C10pi10:1:0.1024203429}
 47  LG+C10        2872547.018  235 5745564.035  5745564.886  5747862.350
Model LG+C20 is alias for LG+POISSON+G+FMIX{C20pi1:1:0.0559910600,C20pi2:1:0.0514824870,C20pi3:1:0.0812922124,C20pi4:1:0.0721976867,C20pi5:1:0.0556718858,C20pi6:1:0.0331003080,C20pi7:1:0.0589501763,C20pi8:1:0.0263756889,C20pi9:1:0.0307584220,C20pi10:1:0.0376701125,C20pi11:1:0.0303058290,C20pi12:1:0.0808775576,C20pi13:1:0.0263349134,C20pi14:1:0.0579101455,C20pi15:1:0.0371248064,C20pi16:1:0.0586867766,C20pi17:1:0.0561479138,C20pi18:1:0.0349810886,C20pi19:1:0.0544937394,C20pi20:1:0.0596471901}
 48  LG+C20        2851898.283  245 5704286.566  5704287.491  5706682.682
Akaike Information Criterion:           LG+F+R9
Corrected Akaike Information Criterion: LG+F+R9
Bayesian Information Criterion:         LG+F+R8
Best-fit model: LG+F+R8 chosen according to BIC

All model information printed to 80taxa.model
CPU time for ModelFinder: 418812.842 seconds (116h:20m:12s)
Wall-clock time for ModelFinder: 6816.718 seconds (1h:53m:36s)
Generating 1500 samples for ultrafast bootstrap (seed: 679950)...

NOTE: 13037 MB RAM (12 GB) is required!
Estimate model parameters (epsilon = 0.100)
1. Initial log-likelihood: -2750097.589
2. Current log-likelihood: -2723664.086
3. Current log-likelihood: -2723104.000
4. Current log-likelihood: -2722995.887
5. Current log-likelihood: -2722936.800
6. Current log-likelihood: -2722893.718
7. Current log-likelihood: -2722859.944
8. Current log-likelihood: -2722833.036
9. Current log-likelihood: -2722811.066
10. Current log-likelihood: -2722793.196
11. Current log-likelihood: -2722778.242
12. Current log-likelihood: -2722765.392
13. Current log-likelihood: -2722754.274
14. Current log-likelihood: -2722744.571
15. Current log-likelihood: -2722736.113
16. Current log-likelihood: -2722728.718
17. Current log-likelihood: -2722722.223
18. Current log-likelihood: -2722716.564
19. Current log-likelihood: -2722711.765
20. Current log-likelihood: -2722707.552
21. Current log-likelihood: -2722703.810
22. Current log-likelihood: -2722700.419
23. Current log-likelihood: -2722697.568
24. Current log-likelihood: -2722695.035
25. Current log-likelihood: -2722692.939
26. Current log-likelihood: -2722691.007
27. Current log-likelihood: -2722689.385
28. Current log-likelihood: -2722687.853
29. Current log-likelihood: -2722686.451
30. Current log-likelihood: -2722685.244
31. Current log-likelihood: -2722684.190
32. Current log-likelihood: -2722683.166
33. Current log-likelihood: -2722682.209
34. Current log-likelihood: -2722681.179
35. Current log-likelihood: -2722680.858
36. Current log-likelihood: -2722679.963
37. Current log-likelihood: -2722679.113
38. Current log-likelihood: -2722678.505
39. Current log-likelihood: -2722677.654
40. Current log-likelihood: -2722676.789
41. Current log-likelihood: -2722675.932
42. Current log-likelihood: -2722675.121
43. Current log-likelihood: -2722674.259
44. Current log-likelihood: -2722673.417
45. Current log-likelihood: -2722672.630
46. Current log-likelihood: -2722671.875
47. Current log-likelihood: -2722671.002
48. Current log-likelihood: -2722670.105
49. Current log-likelihood: -2722669.243
50. Current log-likelihood: -2722668.384
51. Current log-likelihood: -2722667.518
52. Current log-likelihood: -2722666.615
53. Current log-likelihood: -2722665.724
54. Current log-likelihood: -2722664.789
55. Current log-likelihood: -2722663.839
56. Current log-likelihood: -2722662.883
57. Current log-likelihood: -2722661.768
58. Current log-likelihood: -2722660.681
59. Current log-likelihood: -2722659.505
60. Current log-likelihood: -2722658.525
61. Current log-likelihood: -2722657.848
62. Current log-likelihood: -2722656.618
63. Current log-likelihood: -2722655.393
64. Current log-likelihood: -2722654.171
65. Current log-likelihood: -2722652.961
66. Current log-likelihood: -2722651.685
67. Current log-likelihood: -2722650.511
68. Current log-likelihood: -2722649.277
69. Current log-likelihood: -2722648.062
70. Current log-likelihood: -2722646.806
71. Current log-likelihood: -2722645.611
72. Current log-likelihood: -2722644.461
73. Current log-likelihood: -2722643.322
74. Current log-likelihood: -2722642.125
75. Current log-likelihood: -2722641.000
76. Current log-likelihood: -2722639.961
77. Current log-likelihood: -2722638.989
78. Current log-likelihood: -2722637.997
79. Current log-likelihood: -2722637.006
80. Current log-likelihood: -2722636.210
81. Current log-likelihood: -2722635.529
82. Current log-likelihood: -2722635.077
83. Current log-likelihood: -2722634.391
84. Current log-likelihood: -2722634.103
85. Current log-likelihood: -2722633.554
86. Current log-likelihood: -2722633.200
87. Current log-likelihood: -2722632.921
88. Current log-likelihood: -2722632.659
89. Current log-likelihood: -2722632.157
90. Current log-likelihood: -2722631.901
91. Current log-likelihood: -2722631.654
92. Current log-likelihood: -2722631.537
93. Current log-likelihood: -2722631.419
94. Current log-likelihood: -2722631.191
95. Current log-likelihood: -2722631.072
96. Current log-likelihood: -2722630.957
97. Current log-likelihood: -2722630.847
98. Current log-likelihood: -2722630.741
99. Current log-likelihood: -2722630.630
Optimal log-likelihood: -2722630.630
Site proportion and rates:  (0.304,0.011) (0.160,0.135) (0.128,0.416) (0.125,0.887) (0.115,1.589) (0.098,2.667) (0.060,4.621) (0.009,9.651)
Parameters optimization took 99 rounds (1165.529 sec)
Computing ML distances based on estimated model parameters... 16.202 sec
Computing BIONJ tree...
0.006 seconds
Log-likelihood of BIONJ tree: -2723357.487
--------------------------------------------------------------------
|             INITIALIZING CANDIDATE TREE SET                      |
--------------------------------------------------------------------
Generating 8 parsimony trees... 33.012 second
Computing log-likelihood of 8 initial trees ... 17.758 seconds
Current best score: -2722630.630

Do NNI search on 10 best initial trees
Estimate model parameters (epsilon = 0.100)
BETTER TREE FOUND at iteration 1: -2722197.295
Iteration 10 / LogL: -2722283.341 / Time: 2h:18m:20s
Finish initializing candidate tree set (6)
Current best tree score: -2722197.295 / CPU time: 285.821
Number of iterations: 10
--------------------------------------------------------------------
|               OPTIMIZING CANDIDATE TREE SET                      |
--------------------------------------------------------------------
Iteration 20 / LogL: -2722214.767 / Time: 2h:22m:13s
Iteration 30 / LogL: -2722209.852 / Time: 2h:26m:16s (1h:19m:58s left)
Iteration 40 / LogL: -2722240.157 / Time: 2h:30m:13s (0h:57m:16s left)
Iteration 50 / LogL: -2722230.051 / Time: 2h:34m:16s (0h:42m:19s left)
Log-likelihood cutoff on original alignment: -2722322.356
Iteration 60 / LogL: -2722220.587 / Time: 2h:38m:16s (0h:31m:2s left)
Iteration 70 / LogL: -2722208.899 / Time: 2h:42m:13s (0h:21m:50s left)
Iteration 80 / LogL: -2722200.208 / Time: 2h:46m:14s (0h:13m:59s left)
Iteration 90 / LogL: -2722205.216 / Time: 2h:50m:49s (0h:7m:4s left)
Iteration 100 / LogL: -2722210.892 / Time: 2h:54m:50s (0h:0m:37s left)
Log-likelihood cutoff on original alignment: -2722322.334
NOTE: Bootstrap correlation coefficient of split occurrence frequencies: 1.000
Total number of trees received: 0
Total number of trees sent: 0
Total number of NNI searches done by myself: 102
TREE SEARCH COMPLETED AFTER 102 ITERATIONS / Time: 2h:55m:37s

--------------------------------------------------------------------
|                    FINALIZING TREE SEARCH                        |
--------------------------------------------------------------------
Performs final model parameters optimization
Estimate model parameters (epsilon = 0.010)
1. Initial log-likelihood: -2722197.295
2. Current log-likelihood: -2722197.134
3. Current log-likelihood: -2722196.924
4. Current log-likelihood: -2722196.723
5. Current log-likelihood: -2722196.530
6. Current log-likelihood: -2722196.346
7. Current log-likelihood: -2722196.169
8. Current log-likelihood: -2722196.002
9. Current log-likelihood: -2722195.840
10. Current log-likelihood: -2722195.590
11. Current log-likelihood: -2722195.447
12. Current log-likelihood: -2722195.318
13. Current log-likelihood: -2722195.188
14. Current log-likelihood: -2722195.071
15. Current log-likelihood: -2722194.967
16. Current log-likelihood: -2722194.856
17. Current log-likelihood: -2722194.754
18. Current log-likelihood: -2722194.665
19. Current log-likelihood: -2722194.569
20. Current log-likelihood: -2722194.478
21. Current log-likelihood: -2722194.348
22. Current log-likelihood: -2722194.274
23. Current log-likelihood: -2722194.195
24. Current log-likelihood: -2722194.123
25. Current log-likelihood: -2722194.065
26. Current log-likelihood: -2722194.026
27. Current log-likelihood: -2722193.973
28. Current log-likelihood: -2722193.904
29. Current log-likelihood: -2722193.848
30. Current log-likelihood: -2722193.814
31. Current log-likelihood: -2722193.769
32. Current log-likelihood: -2722193.714
33. Current log-likelihood: -2722193.683
34. Current log-likelihood: -2722193.653
35. Current log-likelihood: -2722193.624
36. Current log-likelihood: -2722193.609
37. Current log-likelihood: -2722193.580
38. Current log-likelihood: -2722193.565
39. Current log-likelihood: -2722193.523
40. Current log-likelihood: -2722193.480
41. Current log-likelihood: -2722193.467
42. Current log-likelihood: -2722193.453
43. Current log-likelihood: -2722193.429
44. Current log-likelihood: -2722193.416
45. Current log-likelihood: -2722193.404
46. Current log-likelihood: -2722193.392
47. Current log-likelihood: -2722193.380
48. Current log-likelihood: -2722193.368
49. Current log-likelihood: -2722193.357
50. Current log-likelihood: -2722193.346
51. Current log-likelihood: -2722193.322
52. Current log-likelihood: -2722193.295
53. Current log-likelihood: -2722193.284
54. Current log-likelihood: -2722193.273
55. Current log-likelihood: -2722193.262
Optimal log-likelihood: -2722193.245
Site proportion and rates:  (0.309,0.012) (0.162,0.142) (0.130,0.438) (0.127,0.935) (0.117,1.683) (0.093,2.819) (0.054,4.807) (0.008,10.154)
Parameters optimization took 55 rounds (221.087 sec)
BEST SCORE FOUND : -2722193.245
Creating bootstrap support values...
Split supports printed to NEXUS file 80taxa.splits.nex
Total tree length: 15.783

Total number of iterations: 102
CPU time used for tree search: 157916.857 sec (43h:51m:56s)
Wall-clock time used for tree search: 2522.932 sec (0h:42m:2s)
Total CPU time used: 663882.792 sec (184h:24m:42s)
Total wall-clock time used: 10759.562 sec (2h:59m:19s)

Computing bootstrap consensus tree...
Reading input file 80taxa.splits.nex...
114 taxa and 264 splits.
Consensus tree written to 80taxa.contree
Reading input trees file 80taxa.contree
Log-likelihood of consensus tree: -2722194.866

Analysis results written to: 
  IQ-TREE report:                80taxa.iqtree
  Maximum-likelihood tree:       80taxa.treefile
  Likelihood distances:          80taxa.mldist

Ultrafast bootstrap approximation results written to:
  Split support values:          80taxa.splits.nex
  Consensus tree:                80taxa.contree
  Screen log file:               80taxa.log

Date and Time: Sat Dec  4 12:12:00 2021
